包处理缓存中响应流的数据预测

Hayato Yamaki, H. Nishi, Shinobu Miwa, H. Honda
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引用次数: 7

摘要

本文提出了一种减少分组处理缓存(PPC)的强制缺失的技术,这在很大程度上影响了核心路由器的吞吐量和能量。我们称为响应预测缓存(RPC)的技术不是预取数据,而是推测性地将预测的数据存储到PPC中,而无需额外访问低吞吐量和功耗内存(即TCAM)。RPC基于internet通信的请求-响应模型,在相应的请求流到达时预测与响应流相关的数据。RPC可以将PPC系统的缓存丢失率、吞吐量和能源效率分别提高15.3%、17.9%和17.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Prediction for Response Flows in Packet Processing Cache
We propose a technique to reduce compulsory misses of packet processing cache (PPC), which largely affects both throughput and energy of core routers. Rather than prefetching data, our technique called response prediction cache (RPC) speculatively stores predicted data into PPC without additional access to the low-throughput and power-consuming memory (i.e., TCAM). RPC predicts the data related to a response flow at the arrival of the corresponding request flow, based on the request-response model of internet communications. RPC can improve the cache miss rate, throughput, and energy-efficiency of PPC systems by 15.3%, 17.9%, and 17.8%, respectively.
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